Triple
T17987563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Will Destroy You |
E430274
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Threads
"Threads" is an atmospheric, guitar-driven post-rock track by the band This Will Destroy You, known for its dynamic build-ups and cinematic intensity.
|
E1300230
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Threads | Statement: [This Will Destroy You, notableSong, Threads]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Threads Context triple: [This Will Destroy You, notableSong, Threads]
-
A.
Threads
Threads is a social media app by Meta designed for real-time text-based conversations and sharing among users, closely integrated with Instagram.
-
B.
Threads
Threads is a collaborative studio album by American singer-songwriter Sheryl Crow, featuring a wide range of guest artists across rock, country, and pop.
-
C.
Threads
Threads is a 1984 British television film depicting the devastating effects of nuclear war on the city of Sheffield and its inhabitants.
-
D.
Thread
Thread is a low-power, IPv6-based wireless mesh networking protocol designed primarily for secure and reliable communication among smart home and IoT devices.
-
E.
The Thread
The Thread is a New York Times Magazine feature that unravels complex questions or mysteries through deeply reported, narrative-driven investigations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Threads Triple: [This Will Destroy You, notableSong, Threads]
Generated description
"Threads" is an atmospheric, guitar-driven post-rock track by the band This Will Destroy You, known for its dynamic build-ups and cinematic intensity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Threads Target entity description: "Threads" is an atmospheric, guitar-driven post-rock track by the band This Will Destroy You, known for its dynamic build-ups and cinematic intensity.
-
A.
Threads
Threads is a social media app by Meta designed for real-time text-based conversations and sharing among users, closely integrated with Instagram.
-
B.
Threads
Threads is a collaborative studio album by American singer-songwriter Sheryl Crow, featuring a wide range of guest artists across rock, country, and pop.
-
C.
Threads
Threads is a 1984 British television film depicting the devastating effects of nuclear war on the city of Sheffield and its inhabitants.
-
D.
Thread
Thread is a low-power, IPv6-based wireless mesh networking protocol designed primarily for secure and reliable communication among smart home and IoT devices.
-
E.
The Thread
The Thread is a New York Times Magazine feature that unravels complex questions or mysteries through deeply reported, narrative-driven investigations.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29c6d0881909d450d2561d532a6 |
completed | April 19, 2026, 10:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0337aae0d08190aef6a30f3a10eefc |
completed | May 12, 2026, 2:22 p.m. |
| NEDg | Description generation | batch_6a033ca5e4c08190b7de8ab2d4fb8e3b |
completed | May 12, 2026, 2:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a033daf5b948190926f2925b8e3cc84 |
completed | May 12, 2026, 2:48 p.m. |
Created at: April 10, 2026, 10:23 a.m.