Triple
T16585487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Michael Holt |
E402945
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Anna Paul |
E881482
|
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: Anna Paul | Statement: [Dr. Michael Holt, hasRelative, Anna Paul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Paul Context triple: [Dr. Michael Holt, hasRelative, Anna Paul]
-
A.
Anna Paul
chosen
Anna Paul is a central character in the television drama "A Gifted Man," around whom much of the show's emotional and narrative development revolves.
-
B.
Julia Paula
Julia Paula was a Roman noblewoman who briefly served as empress as the first wife of Emperor Elagabalus in the early 3rd century.
-
C.
Anna Popplewell
Anna Popplewell is an English actress best known for playing Susan Pevensie in the film adaptations of C.S. Lewis's "The Chronicles of Narnia."
-
D.
Alexandra Paul
Alexandra Paul is an American actress best known for her role as Lt. Stephanie Holden on the television series "Baywatch."
-
E.
Anna Patrick
Anna Patrick is a British actress known for her work in television and theatre and for being married to actor Nathaniel Parker.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3599b057881909fcb8bbb156633a8 |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007597905881909df7dc49961b6a02 |
completed | May 10, 2026, 12:09 p.m. |
Created at: April 10, 2026, 5:16 a.m.