Triple
T9944609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Dudley |
E194169
|
entity |
| Predicate | notableCollaboration |
P8554
|
FINISHED |
| Object | Gary Langan |
E197371
|
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: Gary Langan | Statement: [Anne Dudley, notableCollaboration, Gary Langan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gary Langan Context triple: [Anne Dudley, notableCollaboration, Gary Langan]
-
A.
Gary Langan
chosen
Gary Langan is a British recording engineer and record producer known for his work with The Buggles, Art of Noise, and numerous influential pop and rock artists.
-
B.
Gary Weis
Gary Weis is an American film and television director best known for his work on "Saturday Night Live" short films and various music videos in the 1970s and 1980s.
-
C.
Larry Daley
Larry Daley is the bumbling yet good-hearted night guard protagonist of the "Night at the Museum" film series, known for dealing with museum exhibits that magically come to life.
-
D.
Michael Nolin
Michael Nolin is an American film producer best known for his work on the acclaimed music drama "Mr. Holland's Opus."
-
E.
Brian O'Neill
Brian O'Neill is an American professional ice hockey forward known for his standout collegiate career at Yale University and subsequent success in North American and European leagues.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb61561848190aba7250f3b3c4ed5 |
completed | April 2, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b5d295908190a064fb72d65b6e24 |
completed | April 5, 2026, 7:19 p.m. |
Created at: March 30, 2026, 8:45 p.m.