Triple
T647607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Hermann Gottlieb |
E11275
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Travis Beacham |
E30318
|
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: Travis Beacham | Statement: [Dr. Hermann Gottlieb, createdBy, Travis Beacham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Travis Beacham Context triple: [Dr. Hermann Gottlieb, createdBy, Travis Beacham]
-
A.
Travis Beacham
chosen
Travis Beacham is an American screenwriter best known for co-writing the science fiction monster film "Pacific Rim."
-
B.
Brian VanDeMark
Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
-
C.
Sean Kilpatrick
Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
-
D.
Nick Hendricks
Nick Hendricks is a frustrated office worker from the dark comedy film "Horrible Bosses," who conspires with his friends to murder their abusive employers.
-
E.
Shane Hurlbut
Shane Hurlbut is an American cinematographer known for his work on major Hollywood films and his influential role in advancing digital cinematography techniques.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f1cb24481909d3b41a56b29dee9 |
completed | March 1, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd46422408190911e6eaec5866fe8 |
completed | March 8, 2026, 1:44 a.m. |
Created at: March 1, 2026, 7:36 p.m.