Triple
T25974907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfredo Garcia |
E645908
|
entity |
| Predicate | isTalkedAboutBy |
P20309
|
FINISHED |
| Object | multiple characters in the film |
—
|
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: multiple characters in the film | Statement: [Alfredo Garcia, isTalkedAboutBy, multiple characters in the film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTalkedAboutBy Context triple: [Alfredo Garcia, isTalkedAboutBy, multiple characters in the film]
-
A.
notablePersonDiscussed
chosen
Indicates that the subject entity includes or features a discussion about the referenced notable person.
-
B.
frequentlyDiscussedIn
Indicates that a topic, subject, or entity is often the focus of conversation, debate, or mention within a particular context or medium.
-
C.
hasSpokenAbout
Indicates that one entity has verbally expressed, discussed, or mentioned another entity or topic.
-
D.
isSpokenAround
Indicates that something (such as a language, phrase, or expression) is commonly spoken in the vicinity of, or within the general area surrounding, a particular place or entity.
-
E.
hasBeenSubjectOf
Indicates that an entity has previously been the focus or target of a particular action, process, or investigation.
- 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_69e77e8768648190b27bb578f14bcb88 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f60508b04c8190af744b1dbeffe4b4 |
completed | May 2, 2026, 2:07 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:51 a.m.