Triple
T5215540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Harrison |
E117742
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Norman Lloyd |
E12322
|
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: Norman Lloyd | Statement: [Joan Harrison, workedWith, Norman Lloyd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Lloyd Context triple: [Joan Harrison, workedWith, Norman Lloyd]
-
A.
Norman Lloyd
chosen
Norman Lloyd was an American actor, producer, and director whose career in film, television, and theater spanned more than eight decades.
-
B.
Sam Fields
Sam Fields is known primarily as the husband of acclaimed American film editor Verna Fields.
-
C.
Martin Balsam
Martin Balsam was an American character actor known for his versatile supporting roles in classic films such as "Psycho," "12 Angry Men," and "A Thousand Clowns," for which he won an Academy Award.
-
D.
David Purviance
David Purviance was an early 19th-century American Presbyterian minister and reformer who played a key role in the Stone-Campbell Restoration Movement.
-
E.
Lionel Stander
Lionel Stander was an American character actor known for his distinctive gravelly voice and memorable supporting roles in classic Hollywood films and later television.
- 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a93fcc08190a1d2d025b4365d5a |
completed | March 20, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beefe788f88190a2ac0673daafaab2 |
completed | March 21, 2026, 7:22 p.m. |
Created at: March 20, 2026, 1:48 p.m.