Triple
T37717299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sally Starr |
E939490
|
entity |
| Predicate | audienceReputation |
P61188
|
FINISHED |
| Object | beloved local TV personality |
—
|
LITERAL 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: beloved local TV personality | Statement: [Sally Starr, audienceReputation, beloved local TV personality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audienceReputation Context triple: [Sally Starr, audienceReputation, beloved local TV personality]
-
A.
crowdReputation
Indicates the collective opinion or perceived standing of an entity as judged by a group or general audience.
-
B.
soundReputation
Indicates that an entity is regarded as trustworthy, reliable, and of good standing by others.
-
C.
scoringReputation
Indicates that one entity evaluates and assigns a reputation-related score to another entity based on its behavior or performance.
-
D.
refersToPersonReputation
Indicates that something is about, concerns, or makes reference to a particular person's reputation.
-
E.
hasReputationAmong
chosen
Indicates that an entity is regarded or perceived in a particular way by a specified group or audience.
- 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaef0cec881908c2742d77d145901 |
completed | May 6, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.