Triple
T3009557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Kings |
E81983
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Robert K. Lambert |
E335495
|
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: Robert K. Lambert | Statement: [Three Kings, editedBy, Robert K. Lambert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert K. Lambert Context triple: [Three Kings, editedBy, Robert K. Lambert]
-
A.
Robert K. Lambert
chosen
Robert K. Lambert is a film editor known for his work on the action-comedy movie "Bulletproof Monk."
-
B.
Lawrence Hauben
Lawrence Hauben was an American screenwriter best known for co-writing the acclaimed film adaptation of "One Flew Over the Cuckoo's Nest," for which he received an Academy Award nomination.
-
C.
Robert N. Fitch
Robert N. Fitch was a composer best known for writing the University of California fight song "Fight for California."
-
D.
Daniel L. Fapp
Daniel L. Fapp was an American cinematographer known for his work on numerous Hollywood films, including the Oscar-winning West Side Story.
-
E.
Alan M. Garber
Alan M. Garber is an American physician-economist and academic leader known for his work in health policy and for serving in top administrative roles at Harvard University.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a4ccbf08190a7580c9e758804d0 |
completed | March 8, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd41fa66dc8190a2cafd8df215e971 |
completed | March 20, 2026, 12:47 p.m. |
Created at: March 8, 2026, 3 p.m.