Triple
T3139768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Perry |
E65615
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Perry |
E60656
|
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: Perry | Statement: [Linda Perry, familyName, Perry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perry Context triple: [Linda Perry, familyName, Perry]
-
A.
Perry
Perry is the central character in the film "Makers," around whom the story’s main events and themes revolve.
-
B.
Perry
chosen
Perry is a common English surname borne by numerous notable individuals across politics, arts, sports, and other fields.
-
C.
Pierce
Pierce is a surname most prominently associated with Paul Pierce, the Hall of Fame former NBA star of the Boston Celtics.
-
D.
Willard
Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
-
E.
Blaine
Blaine is a small coastal city in northwestern Washington State, located near the Canadian border.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada57743e08190a1069c62e32f1bd4 |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224e11c508190b69c16dfb5313fc2 |
completed | March 12, 2026, 2:28 a.m. |
Created at: March 8, 2026, 3:05 p.m.