Triple
T21947910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bird |
E541980
|
entity |
| Predicate | portrays |
P264
|
FINISHED |
| Object | Chan Parker |
—
|
NE NERFINISHED |
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: Chan Parker | Statement: [Bird, portrays, Chan Parker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chan Parker Context triple: [Bird, portrays, Chan Parker]
-
A.
Chan Parker
chosen
Chan Parker was the longtime partner and later wife of jazz saxophonist Charlie Parker, known for her close association with the bebop scene and for preserving Parker’s legacy.
-
B.
Jay Parker
Jay Parker is a fictional character portrayed by actor Josh Stamberg, best known from his role in the television series "Drop Dead Diva."
-
C.
Daniel Parker
Daniel Parker is the son of acclaimed American crime novelist Robert B. Parker.
-
D.
David Parker
David Parker is a film producer known for his work on the Australian psychological thriller "In Her Skin."
-
E.
David Parker
David Parker is one of the children of acclaimed American crime novelist Robert B. Parker.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243a2f788190bd4625fa79888696 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:57 p.m.