Triple
T20361048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Heart Huckabees |
E496780
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Robert K. Lambert |
—
|
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: Robert K. Lambert | Statement: [I Heart Huckabees, editor, Robert K. Lambert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert K. Lambert Context triple: [I Heart Huckabees, editor, 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.
Allan R. Lambert
Allan R. Lambert was a prominent Canadian banker and former chairman and CEO of the Toronto-Dominion Bank, influential in shaping modern Canadian finance and corporate culture.
-
C.
Robert Glenn Lawler
Robert Glenn Lawler is an American mixed martial artist best known for his hard-hitting fighting style and reign as UFC Welterweight Champion.
-
D.
Byron K. Lichtenberg
Byron K. Lichtenberg is an American scientist and astronaut who flew as a payload specialist on two Space Shuttle missions, conducting microgravity and atmospheric research in orbit.
-
E.
Daniel G. Aldrich
Daniel G. Aldrich was the founding chancellor of the University of California, Irvine, and a key figure in the campus’s early development and planning.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6786de5988190827584358c9db147 |
completed | April 20, 2026, 7:03 p.m. |
Created at: April 16, 2026, 11:25 a.m.