Triple
T4217137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rocky Balboa |
E94245
|
entity |
| Predicate | rival |
P437
|
FINISHED |
| Object | Tommy Gunn |
E91829
|
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: Tommy Gunn | Statement: [Rocky Balboa, rival, Tommy Gunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tommy Gunn Context triple: [Rocky Balboa, rival, Tommy Gunn]
-
A.
Tommy Gunn
chosen
Tommy Gunn is a fictional heavyweight boxer who becomes Rocky Balboa’s protégé-turned-rival in the film "Rocky V."
-
B.
Tommy Hawk
Tommy Hawk is the anthropomorphic hawk mascot of the NHL’s Chicago Blackhawks, known for entertaining fans with energetic antics at games and community events.
-
C.
Tommy Luske
Tommy Luske is an American former child actor best known for providing the voice of the title character in Disney’s 1953 animated film "Peter Pan."
-
D.
Tommy Barban
Tommy Barban is a daring and enigmatic soldier of fortune who plays a pivotal role in F. Scott Fitzgerald’s novel "Tender Is the Night."
-
E.
Tommy Green
Tommy Green is a basketball player best known for being named the Most Valuable Player of the 1979 NBA Finals.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34beb470481909ceff19195417f19 |
completed | March 12, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a855cfc08190acceced9cb80f41a |
completed | March 14, 2026, 6:26 p.m. |
Created at: March 12, 2026, 11:04 p.m.