Triple
T31617255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Men from Shiloh |
E806793
|
entity |
| Predicate | featuresGuestStarFocus |
P45889
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Men from Shiloh, featuresGuestStarFocus, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresGuestStarFocus Context triple: [The Men from Shiloh, featuresGuestStarFocus, yes]
-
A.
guestStar
chosen
Indicates that one entity appears in a limited, special, or featured role within another entity’s production, event, or context, without being a regular or primary participant.
-
B.
featuresPeople
Indicates that something prominently includes or showcases specific people as part of its content or presentation.
-
C.
featuresStar
Indicates that one entity prominently includes or showcases another entity as a main star or featured performer.
-
D.
characterInFocus
Indicates that a particular character is the primary subject or focal point within a given context, scene, or narrative segment.
-
E.
featuresCast
Indicates that a creative work includes a particular person or group as part of its cast.
- 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_69f348d61f2081908cad94bc9ffbb671 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a008b8938608190adaccbd720111a18 |
completed | May 10, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_6a008b24baac8190baaaf50c2e9cc6bd |
completed | May 10, 2026, 1:41 p.m. |
Created at: April 30, 2026, 10:39 p.m.