Triple
T18340069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gordon Gray |
E439376
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gordon Gray |
—
|
NE NERFINISHED |
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: Gordon Gray | Statement: [Gordon Gray, name, Gordon Gray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gordon Gray Context triple: [Gordon Gray, name, Gordon Gray]
-
A.
Gordon Gray
Gordon Gray is a fictional character from the soap opera "General Hospital," known primarily as the biological father of Laura Webber.
-
B.
Gordon Gray
chosen
Gordon Gray was an American government official and national security advisor who held several high-level posts under Presidents Truman and Eisenhower, including roles in defense and intelligence policy.
-
C.
Gordon Gray
Gordon Gray is an American film producer known for inspirational sports dramas and family-oriented movies such as "The Rookie" and "Miracle."
-
D.
Gordon Malloy
Gordon Malloy is a wisecracking, skilled helmsman and loyal crew member aboard the exploratory spaceship in the sci-fi comedy-drama series "The Orville."
-
E.
Gordon Wiles
Gordon Wiles was an American film director and art director known for his work on early 20th-century crime and genre films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ed146fc819092b08cb91defb03b |
completed | April 19, 2026, 5:20 p.m. |
Created at: April 10, 2026, 10:37 a.m.