Triple
T9948046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Channel 5 News team in Family Guy |
E195254
|
entity |
| Predicate | hasCoAnchor |
P53098
|
FINISHED |
| Object | Diane Simmons |
—
|
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: Diane Simmons | Statement: [Channel 5 News team in Family Guy, hasCoAnchor, Diane Simmons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoAnchor Context triple: [Channel 5 News team in Family Guy, hasCoAnchor, Diane Simmons]
-
A.
coAnchorWith
chosen
Indicates that two or more people jointly serve as anchors or hosts of the same program, segment, or broadcast.
-
B.
hasCoChair
Indicates that an entity shares the role of chair (leadership or oversight position) jointly with another entity.
-
C.
hasCoauthor
Indicates that two or more entities have jointly authored the same work or publication.
-
D.
hasCoChairFrom
Indicates that an entity has a co-chair whose affiliation or origin is from a specified source, organization, or group.
-
E.
hasCoCapital
Indicates that two or more cities share the status and functions of being capital cities of the same political or administrative 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb659307c81908279adb641ceef86 |
completed | April 2, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69cd1d97c44081908730071269f07712 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:45 p.m.