Triple
T21894147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Led Zeppelin III |
E540631
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Tangerine
"Tangerine" is a folk-influenced rock ballad by Led Zeppelin, written by Jimmy Page and featured on their 1970 album Led Zeppelin III.
|
E1506965
|
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: Tangerine | Statement: [Led Zeppelin III, hasTrack, Tangerine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tangerine Context triple: [Led Zeppelin III, hasTrack, Tangerine]
-
A.
Tangerine
Tangerine is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its upbeat rhythm and vibrant, danceable style.
-
B.
Tangerine
"Tangerine" is a funk-infused hip hop track by Big Boi featuring T.I., known for its playful, club-ready sound and appearance on Big Boi’s debut solo album.
-
C.
Tangerine
"Tangerine" is an episode of the American sitcom "The King of Queens," known for its comedic take on everyday married life in Queens, New York.
-
D.
Tangerine
"Tangerine" is a jazz standard frequently interpreted by prominent jazz musicians and vocalists.
-
E.
Tangerine
Tangerine is a fictional British assassin and one half of the hitman duo "Lemon and Tangerine" in the action-comedy film *Bullet Train*.
- 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: Tangerine Triple: [Led Zeppelin III, hasTrack, Tangerine]
Generated description
"Tangerine" is a folk-influenced rock ballad by Led Zeppelin, written by Jimmy Page and featured on their 1970 album Led Zeppelin III.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tangerine Target entity description: "Tangerine" is a folk-influenced rock ballad by Led Zeppelin, written by Jimmy Page and featured on their 1970 album Led Zeppelin III.
-
A.
Tangerine
"Tangerine" is a song by the English indie rock band Glass Animals, known for its dreamy production and introspective lyrics.
-
B.
Tangerine
"Tangerine" is a funk-infused hip hop track by Big Boi featuring T.I., known for its playful, club-ready sound and appearance on Big Boi’s debut solo album.
-
C.
Tangerine
"Tangerine" is a jazz standard frequently interpreted by prominent jazz musicians and vocalists.
-
D.
Tangerine
Tangerine is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its upbeat rhythm and vibrant, danceable style.
-
E.
Tangerine
Tangerine is a fictional British assassin and one half of the hitman duo "Lemon and Tangerine" in the action-comedy film *Bullet Train*.
- 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc539708190a42f202e7404a213 |
completed | April 28, 2026, 8:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a52c106c8819083d0410b52d41a14 |
completed | May 17, 2026, 11:44 p.m. |
| NEDg | Description generation | batch_6a0a5375251c8190bd56103ad7465378 |
completed | May 17, 2026, 11:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a54a231ec8190921160d7a1156aa5 |
completed | May 17, 2026, 11:52 p.m. |
Created at: April 16, 2026, 7:07 p.m.