Triple
T15349435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hero |
E367010
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Fred Hammond |
E330257
|
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: Fred Hammond | Statement: [Hero, featuresArtist, Fred Hammond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fred Hammond Context triple: [Hero, featuresArtist, Fred Hammond]
-
A.
Fred Hammond
chosen
Fred Hammond is an American gospel singer, bass guitarist, and producer known for his influential work in contemporary gospel and praise & worship music.
-
B.
Mark Hammond
Mark Hammond is a composer and music producer known for creating music for Disney theme park entertainment, including the Festival of Fantasy Parade.
-
C.
John Hartman
John Hartman was an American drummer best known as a founding member and key rhythmic force of the rock band The Doobie Brothers.
-
D.
Howard Marner
Howard Marner is a character in the science-fiction comedy film "Short Circuit," serving as one of the key figures involved with the experimental military robots central to the story.
-
E.
Howard Sherman
Howard Sherman is an American businessman and film producer best known as the husband of actress Sela Ward.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e27f8a88190a0f65756e3a1fdfc |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1341033881909121ade33cecaf50 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:17 a.m.