Triple
T36676506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How Many Words |
E905554
|
entity |
| Predicate | performerNotableFact |
P8229
|
FINISHED |
| Object | American Idol season 6 runner-up |
—
|
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: American Idol season 6 runner-up | Statement: [How Many Words, performerNotableFact, American Idol season 6 runner-up]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performerNotableFact Context triple: [How Many Words, performerNotableFact, American Idol season 6 runner-up]
-
A.
notableFact
chosen
Indicates that there exists a particularly significant or noteworthy fact or piece of information associated with the subject.
-
B.
notableProductionFact
Indicates a noteworthy or distinctive fact about how something was produced, created, or manufactured.
-
C.
notableStar
Indicates that the subject is a star (or stellar object) that is distinguished or noteworthy in some significant way, such as brightness, fame, or scientific interest, relative to other stars.
-
D.
organFamousFor
Indicates that an organ is widely recognized or notable for a particular characteristic, function, or association.
-
E.
notablePersonDiscussed
Indicates that the subject entity includes or features a discussion about the referenced notable person.
- 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_69f76e7011dc819082b324f18b756a1b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff27b125948190aced0fe0189fd39a |
completed | May 9, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69ff26c30a0481909ef6a54ded851e42 |
completed | May 9, 2026, 12:21 p.m. |
Created at: May 3, 2026, 4:12 p.m.