Triple
T5224696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugh Marlowe |
E117955
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Gregory Peck |
E8645
|
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: Gregory Peck | Statement: [Hugh Marlowe, workedWith, Gregory Peck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gregory Peck Context triple: [Hugh Marlowe, workedWith, Gregory Peck]
-
A.
Gregory Peck
chosen
Gregory Peck was an acclaimed American actor renowned for his dignified, morally upright roles in classic films such as "To Kill a Mockingbird."
-
B.
Montgomery Clift
Montgomery Clift was an acclaimed American actor and early method acting pioneer, known for his intense, emotionally nuanced performances in classic films of the 1940s and 1950s.
-
C.
Spencer Tracy
Spencer Tracy was an acclaimed American film actor renowned for his naturalistic performances and two Academy Award–winning roles in a career spanning from the 1930s to the 1960s.
-
D.
Gary Cooper
Gary Cooper was an iconic American film actor renowned for his understated, stoic performances in classic Hollywood films, including major roles in Westerns and dramas.
-
E.
Edmond O'Brien
Edmond O'Brien was an American character actor and Academy Award winner known for his intense, hard-boiled performances in film noir and classic Hollywood dramas.
- 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_69bd4465e03081909bfcfd7113062590 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7abd3ed48190bfd8d2f2ca399741 |
completed | March 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beeffc51888190938dc157b14c4b6c |
completed | March 21, 2026, 7:22 p.m. |
Created at: March 20, 2026, 1:48 p.m.