Triple
T31050932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Return of October |
E791260
|
entity |
| Predicate | starMadeFamousBy |
P112499
|
FINISHED |
| Object | Terry Moore |
—
|
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: Terry Moore | Statement: [The Return of October, starMadeFamousBy, Terry Moore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starMadeFamousBy Context triple: [The Return of October, starMadeFamousBy, Terry Moore]
-
A.
starMadeFamous
chosen
Indicates that one entity (such as a work, event, or role) is what caused another entity (typically a person) to become widely known or famous.
-
B.
madeInternationallyFamousBy
Indicates that one entity became widely known across multiple countries as a result of the actions, influence, or association of another entity.
-
C.
fameFor
Indicates that one entity is widely known or recognized specifically because of, or in connection with, another entity.
-
D.
madeFamousByFilm
Indicates that something became widely known or gained significant public recognition as a result of being featured in a film.
-
E.
songMadeFamousBy
Indicates that a song became widely known or popular primarily through the performance, recording, or promotion of a particular artist or group.
- 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_69f224cb08908190ba71ad9aa87518ed |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953fc4548190bdc28781c6613599 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690f13d7481908ddfefe95df2a1c2 |
completed | May 3, 2026, 12:04 a.m. |
Created at: April 29, 2026, 9 p.m.