Triple
T26729876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Captive City |
E673939
|
entity |
| Predicate | featuredAppearance |
P626
|
FINISHED |
| Object | Estes Kefauver |
—
|
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: Estes Kefauver | Statement: [The Captive City, featuredAppearance, Estes Kefauver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredAppearance Context triple: [The Captive City, featuredAppearance, Estes Kefauver]
-
A.
featuredOn
Indicates that one entity is prominently presented, highlighted, or showcased on or within another entity (such as a platform, publication, or product).
-
B.
featuredIn
chosen
Indicates that one entity appears or is prominently included within another entity, such as a person, work, or item being showcased in a larger work, event, or context.
-
C.
laterFeaturedIn
Indicates that an entity was featured or highlighted at a later time in another work, context, or medium.
-
D.
featuredOnFormat
Indicates that something is prominently presented or highlighted within a particular medium, channel, or content format.
-
E.
notableAppearance
Indicates that an entity is prominently featured or makes a significant appearance in another work, event, or context.
- 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_69eecda57ab481909424e98f2835e7d8 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: April 27, 2026, 3:44 a.m.