Triple
T3858657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Click |
E90081
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Neal H. Moritz |
E217703
|
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: Neal H. Moritz | Statement: [Click, producer, Neal H. Moritz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neal H. Moritz Context triple: [Click, producer, Neal H. Moritz]
-
A.
Neal H. Moritz
chosen
Neal H. Moritz is an American film producer best known for his work on major Hollywood franchises such as the Fast & Furious series and numerous popular action and thriller films.
-
B.
Michael T. Sauer
Michael T. Sauer was an American judge best known for presiding over high-profile criminal cases in Los Angeles County.
-
C.
Robert J. Lovero
Robert J. Lovero is an American politician who has served as the longtime mayor and civic leader of Berwyn, Illinois.
-
D.
Steven R. Hare
Steven R. Hare is a fisheries scientist and climatologist best known for identifying and characterizing the Pacific Decadal Oscillation, a long-term climate variability pattern in the Pacific Ocean.
-
E.
Thomas J. Greytak
Thomas J. Greytak is an American physicist known for his work in low-temperature physics and his long association with the Massachusetts Institute of Technology.
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec1e68f88190941c39221486f6ae |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b504228220819082e11b316ba79b08 |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:19 p.m.