Triple
T10635272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michelle Pfeiffer |
E250563
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Pfeiffer |
E685229
|
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: Pfeiffer | Statement: [Michelle Pfeiffer, familyName, Pfeiffer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pfeiffer Context triple: [Michelle Pfeiffer, familyName, Pfeiffer]
-
A.
Pfeiffer
chosen
Pfeiffer is a German-origin surname borne by numerous notable individuals across fields such as arts, politics, and academia.
-
B.
Kinnear
Kinnear is an English surname most notably associated with the British actor Rory Kinnear and his theatrical family.
-
C.
Theron
Theron is a surname of Greek origin that has been borne by various notable individuals, including actors, athletes, and public figures.
-
D.
Pattison
Pattison was the original name of what is now known as Pattison Avenue station, a transit station in Philadelphia.
-
E.
Edi Patterson
Edi Patterson is an American actress and comedian known for her offbeat, scene-stealing roles in film and television, including series like "The Righteous Gemstones" and "Vice Principals."
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfac70f481908363f9ac0b651fbe |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96bc57a8081908abd73f4273d0666 |
completed | April 10, 2026, 9:29 p.m. |
Created at: April 8, 2026, 9:03 p.m.