Triple
T21990849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athlead |
E543081
|
entity |
| Predicate | employsCharacter |
P26582
|
FINISHED |
| Object | Pam Beesly Halpert |
—
|
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 Halpert | Statement: [Athlead, employsCharacter, Pam Beesly Halpert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pam Beesly Halpert Context triple: [Athlead, employsCharacter, Pam Beesly Halpert]
-
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.
Mose Schrute
Mose Schrute is a socially awkward, eccentric beet farmer and Dwight Schrute’s cousin who lives and works at Schrute Farms in the U.S. version of The Office.
-
C.
Bill Lumbergh
Bill Lumbergh is the passive-aggressive, micromanaging corporate boss and primary antagonist in the cult comedy film "Office Space."
-
D.
Philip Schrute
Philip Schrute is the infant son of Dwight Schrute in the television series "The Office."
-
E.
Halpert
Halpert is the surname of Jim Halpert, a central character from the American television series "The Office."
- 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.