Triple
T3760457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mean Girls (2004 film) |
E82147
|
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: [Mean Girls (2004 film), editedBy, Wendy Greene Bricmont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wendy Greene Bricmont Context triple: [Mean Girls (2004 film), 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 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.
-
C.
Sonia H. Greene
Sonia H. Greene was a Ukrainian-born American writer, amateur publisher, and businesswoman best known for her association and brief marriage to horror author H. P. Lovecraft.
-
D.
Wendy Steiner
Wendy Steiner is an American literary critic and scholar known for her influential work on aesthetics, modernism, and the relationship between visual art and literature.
-
E.
Lynne Overman
Lynne Overman was an American character actor of the 1930s and 1940s, known for his supporting roles in Hollywood films and his distinctive, wisecracking screen persona.
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbc3d3f48190974cec104080949f |
completed | March 8, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e5172abc81909cfa709ea866dc57 |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:35 p.m.