Triple
T13153501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricky Conlan |
E312523
|
entity |
| Predicate | opponentOf |
P4567
|
FINISHED |
| Object | Adonis Creed |
E61461
|
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: Adonis Creed | Statement: [Ricky Conlan, opponentOf, Adonis Creed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adonis Creed Context triple: [Ricky Conlan, opponentOf, Adonis Creed]
-
A.
Adonis Creed
chosen
Adonis Creed is a fictional professional boxer and the son of Apollo Creed, serving as the central protagonist of the Rocky spin-off and sequel film series Creed.
-
B.
Michael Dixon Creed
Michael Dixon Creed is a British public figure who has served as the ceremonial representative of the monarch in the county of Kent.
-
C.
Gage Creed
Gage Creed is a young boy whose tragic death and supernatural resurrection drive the central horror and emotional conflict in Stephen King’s novel "Pet Sematary."
-
D.
Deshaun
Deshaun is the first name of Deshaun Watson, an American professional football quarterback in the NFL.
-
E.
Brody Duke
Brody Duke was an American tobacco industrialist and member of the prominent Duke family that helped shape the tobacco industry in the late 19th century.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd317e0819086e383f8e4583630 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaee8aa0819089994b85d56c7740 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:11 p.m.