Triple
T9789178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amanda Docter |
E237563
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Docter |
E237562
|
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: Docter | Statement: [Amanda Docter, familyName, Docter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Docter Context triple: [Amanda Docter, familyName, Docter]
-
A.
Docter
chosen
Docter is the surname of Pete Docter, the acclaimed American animator, director, and key creative figure at Pixar Animation Studios.
-
B.
Doctor Doctor
Doctor Doctor is an Australian television drama series centered on a charismatic but troubled heart surgeon who is forced to return to practice in his rural hometown.
-
C.
Doctor
Doctor is a 2021 Tamil-language black comedy crime film starring Sivakarthikeyan, known for its dark humor, ensemble cast, and distinctive deadpan performances.
-
D.
Doctores
Doctores is a Mexico City Metro station on Line 8 serving the Doctores neighborhood near the city center.
-
E.
Dr. K
Dr. K is the nickname of Dwight Gooden, a dominant Major League Baseball pitcher best known for his overpowering strikeout ability with the New York Mets in the 1980s.
- 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda214875481909f39e1d4dbac1fdb |
completed | April 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc4e30bc81909b1dce4a0cc69991 |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:27 p.m.