Triple
T9096669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Mullavey |
E218040
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Allison Mullavey |
E790615
|
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: Allison Mullavey | Statement: [Greg Mullavey, hasChild, Allison Mullavey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allison Mullavey Context triple: [Greg Mullavey, hasChild, Allison Mullavey]
-
A.
Allison Mullavey
chosen
Allison Mullavey is the daughter of American actor Greg Mullavey, known for his work in television, film, and theater.
-
B.
Stephany Folsom
Stephany Folsom is an American screenwriter best known for co-writing Pixar’s animated film "Toy Story 4" and contributing to various high-profile film and television projects.
-
C.
Christine Weiss
Christine Weiss is known as the wife of French politician Gérard Larcher, longtime President of the French Senate.
-
D.
Amanda Goodpaster
Amanda Goodpaster is a film music professional known for her work on the score of the 2014 science fiction movie "Transcendence."
-
E.
Laura Deming
Laura Deming is a venture capitalist and longevity researcher best known for founding The Longevity Fund, which invests in companies developing therapies to extend healthy human lifespan.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc96b7d0d48190a3b15f35bef087e3 |
completed | April 1, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c6e9d9408190ad505e9cf49d0f7c |
completed | April 4, 2026, 8:08 a.m. |
Created at: March 30, 2026, 7:15 p.m.