Triple
T34138637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James McMillan Jr. |
E875639
|
entity |
| Predicate | intendedAudienceWithinStory |
P99109
|
FINISHED |
| Object | his daughter |
—
|
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: his daughter | Statement: [James McMillan Jr., intendedAudienceWithinStory, his daughter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedAudienceWithinStory Context triple: [James McMillan Jr., intendedAudienceWithinStory, his daughter]
-
A.
audienceWithinStory
chosen
Indicates that an audience exists as an internal, in-story observer or listener within the narrative itself, rather than outside it.
-
B.
targetParticipantsInStory
Indicates that certain participants are the intended or primary focus within the context of a story or narrative.
-
C.
targetConsumerInStory
Indicates that a specified consumer is the intended or focal target within the context of a particular story or narrative.
-
D.
hasFandomWithinStory
Indicates that within the narrative of a story, one entity is a fan or admirer of another entity (such as a character, group, or work) that exists inside that same story world.
-
E.
primaryUserInStory
Indicates that a particular user is the main or central user involved in the context of a given story.
- 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_69f349aaeef08190a20e72a3fdeb7052 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
Created at: May 1, 2026, 1:53 a.m.