Triple
T18193794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark Tranquillity |
E435606
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object |
ThereIn
"ThereIn" is a melodic death metal song by Swedish band Dark Tranquillity, known for its atmospheric keyboards, emotive melodies, and blend of harsh and clean vocals.
|
E1311161
|
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: ThereIn | Statement: [Dark Tranquillity, hasSingle, ThereIn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ThereIn Context triple: [Dark Tranquillity, hasSingle, ThereIn]
-
A.
IN
IN is the two-letter ISO 3166-1 alpha-2 country code representing India in international standards and systems.
-
B.
IN
IN is the official two-letter United States Postal Service abbreviation for the state of Indiana.
-
C.
IN
IN is the commonly used abbreviation for the Innocence Network, a coalition of organizations dedicated to exonerating wrongfully convicted individuals and reforming the criminal justice system.
-
D.
Ins
Ins is a small Swiss municipality located in the Seeland region of the canton of Bern, known for its agricultural landscape and proximity to the lakes of Biel, Neuchâtel, and Murten.
-
E.
It
It is a 1986 horror novel by Stephen King about a shape-shifting entity that terrorizes children in the town of Derry, Maine.
- 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: ThereIn Triple: [Dark Tranquillity, hasSingle, ThereIn]
Generated description
"ThereIn" is a melodic death metal song by Swedish band Dark Tranquillity, known for its atmospheric keyboards, emotive melodies, and blend of harsh and clean vocals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ThereIn Target entity description: "ThereIn" is a melodic death metal song by Swedish band Dark Tranquillity, known for its atmospheric keyboards, emotive melodies, and blend of harsh and clean vocals.
-
A.
IN
IN is the official two-letter United States Postal Service abbreviation for the state of Indiana.
-
B.
IN
IN is the commonly used abbreviation for the Innocence Network, a coalition of organizations dedicated to exonerating wrongfully convicted individuals and reforming the criminal justice system.
-
C.
IN
IN is the two-letter ISO 3166-1 alpha-2 country code representing India in international standards and systems.
-
D.
Ins
Ins is a small Swiss municipality located in the Seeland region of the canton of Bern, known for its agricultural landscape and proximity to the lakes of Biel, Neuchâtel, and Murten.
-
E.
It
It is a 1986 horror novel by Stephen King about a shape-shifting entity that terrorizes children in the town of Derry, Maine.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d12b688190842375dcc5d5537c |
completed | April 19, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03980b347c819095efe75ae5ceeebb |
completed | May 12, 2026, 9:13 p.m. |
| NEDg | Description generation | batch_6a0399521adc81908b3496c0168afe5d |
completed | May 12, 2026, 9:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a039a1d66c081908ee33c6d503b0dad |
completed | May 12, 2026, 9:22 p.m. |
Created at: April 10, 2026, 10:31 a.m.