Triple
T37859183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Believe era |
E944274
|
entity |
| Predicate | frontOfficeExecutive |
P26889
|
FINISHED |
| Object | Chris Mullin |
—
|
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: Chris Mullin | Statement: [We Believe era, frontOfficeExecutive, Chris Mullin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frontOfficeExecutive Context triple: [We Believe era, frontOfficeExecutive, Chris Mullin]
-
A.
hasFrontDesk
Indicates that one entity provides or is equipped with a front desk service or reception area for another entity.
-
B.
heldFrontOfficeRoleWith
chosen
Indicates that an entity has occupied a front-office position or role in association with another entity (such as an organization or team).
-
C.
frontPerson
Indicates that one entity serves as the primary representative, leader, or public face positioned at the forefront in relation to another entity.
-
D.
frontOfHouse
Indicates that one entity is located or operates in the front-facing, customer-accessible area relative to another entity, typically in a venue or establishment.
-
E.
chiefAttendant
Indicates that one entity serves as the primary or leading attendant responsible for another entity.
- F. None of above.
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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.