Triple
T15591846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pour It Up |
E374761
|
entity |
| Predicate | songwriter |
P1141
|
FINISHED |
| Object | Theron Thomas |
E185902
|
NE FINISHED |
How this triple was built (2 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: Theron Thomas | Statement: [Pour It Up, songwriter, Theron Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theron Thomas Context triple: [Pour It Up, songwriter, Theron Thomas]
-
A.
Theron Thomas
chosen
Theron Thomas is a Grammy-winning songwriter and producer from the U.S. Virgin Islands known for crafting hit records across pop, hip-hop, and R&B for major artists.
-
B.
Theron Warth
Theron Warth was a film editor known for his work on mid-20th-century American cinema.
-
C.
Avery Bullock
Avery Bullock is a fictional high-ranking CIA official and Stan Smith’s eccentric, often unhinged boss in the animated television series "American Dad!".
-
D.
Timothy Black
Timothy Black is a relatively obscure individual whose specific public notability is not clearly established from the given information.
-
E.
Troy Garity
Troy Garity is an American actor known for roles in films such as "Barbershop," "Soldier's Girl," and "Sunshine," as well as for being the son of actress Jane Fonda.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e4b903c8190a35f9267cb38e721 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c55fa248190b114a5b63560f87b |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:12 a.m.