Triple
T15811211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parley P. Pratt |
E383357
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Parley |
E855977
|
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: Parley | Statement: [Parley P. Pratt, hasGivenName, Parley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parley Context triple: [Parley P. Pratt, hasGivenName, Parley]
-
A.
Parley
chosen
Parley is a masculine given name most notably borne by American character actor Parley Baer.
-
B.
Peniel
Peniel is the biblical location where Jacob is said to have wrestled with a divine being and named the place as the face of God.
-
C.
Portis
Portis is a surname most notably associated with American novelist Charles Portis, acclaimed for works such as "True Grit."
-
D.
Moxey
Moxey is a shy, hapless bricklayer and one of the central members of the group of British migrant workers in the comedy-drama series "Auf Wiedersehen, Pet."
-
E.
Hayden
Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b52aae14819091de08630e7e1d1a |
completed | April 16, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff999210148190baa6dcb19be3a1d3 |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:49 a.m.