Triple
T14016185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Girl |
E337209
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Wendy Greene Bricmont |
E252830
|
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: Wendy Greene Bricmont | Statement: [My Girl, editedBy, Wendy Greene Bricmont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wendy Greene Bricmont Context triple: [My Girl, editedBy, Wendy Greene Bricmont]
-
A.
Wendy Greene Bricmont
chosen
Wendy Greene Bricmont is an American film editor best known for her work on influential films such as Woody Allen’s "Annie Hall."
-
B.
Wendy Molyneux
Wendy Molyneux is an American television writer, producer, and showrunner best known for her work on animated comedies such as Bob’s Burgers and The Great North.
-
C.
Wendy Hall
Wendy Hall is a pioneering British computer scientist and professor known for her influential work in hypermedia, the World Wide Web, and web science.
-
D.
Diana Gould
Diana Gould was a British ballerina and actress best known for her distinguished dance career and her marriage to renowned violinist Yehudi Menuhin.
-
E.
Alison Wright
Alison Wright is a British actress known for her acclaimed television roles, including standout performances in series such as "The Americans" and "Sneaky Pete."
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f396b648190927e5718c3bb6511 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacac12608190a5e3d970ec3cda45 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.