Triple
T14752357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Girl |
E346640
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Damian Jones |
E594948
|
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: Damian Jones | Statement: [The Girl, executiveProducer, Damian Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damian Jones Context triple: [The Girl, executiveProducer, Damian Jones]
-
A.
Damian Jones
chosen
Damian Jones is a British film producer known for backing a wide range of acclaimed independent and mainstream films.
-
B.
Damian Anderson
Damian Anderson is a formidable boxer and childhood friend-turned-adversary of Adonis Creed in the Creed film series.
-
C.
Damian Taylor
Damian Taylor is a Grammy-nominated music producer, mixer, and programmer known for his innovative work with artists such as Björk, The Killers, and Arcade Fire.
-
D.
Damian Young
Damian Young is an American character actor known for his work in film and television, including a notable role in the crime drama series "Ozark."
-
E.
Jamir Jones
Jamir Jones is an American football linebacker who has played in the NFL, including for the Pittsburgh Steelers.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d40efc8190bb1be34c19a2b57c |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb9a56a08190b6a178cd930a072d |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:30 a.m.