Triple
T21990972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Halpert |
E543085
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Pam Beesly |
—
|
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: Pam Beesly | Statement: [Jim Halpert, spouse, Pam Beesly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pam Beesly Context triple: [Jim Halpert, spouse, Pam Beesly]
-
A.
Pam Beesly
chosen
Pam Beesly is a shy but witty receptionist-turned-office administrator and aspiring artist, best known as one of the central characters on the U.S. version of The Office.
-
B.
Bill Lumbergh
Bill Lumbergh is the passive-aggressive, micromanaging corporate boss and primary antagonist in the cult comedy film "Office Space."
-
C.
Philip Schrute
Philip Schrute is the infant son of Dwight Schrute in the television series "The Office."
-
D.
Hillary Bauer
Hillary Bauer is a member of the Bauer family, a fictional family featured in the long-running radio and television soap opera "Guiding Light."
-
E.
Carole Bradshaw
Carole Bradshaw is a fictional character in the Top Gun film series, known as the mother of Bradley "Rooster" Bradshaw and the widow of Nick "Goose" Bradshaw.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270d7cbc819086eea86be04a2ec0 |
completed | April 28, 2026, 9:30 p.m. |
Created at: April 16, 2026, 8:05 p.m.