Triple
T33987588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You Came Along |
E871453
|
entity |
| Predicate | hasAANarrativeContributionBy |
P30146
|
FINISHED |
| Object | Ayn Rand |
—
|
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: Ayn Rand | Statement: [You Came Along, hasAANarrativeContributionBy, Ayn Rand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAANarrativeContributionBy Context triple: [You Came Along, hasAANarrativeContributionBy, Ayn Rand]
-
A.
hasPartInNarrative
Indicates that one entity plays a role or participates as a component within the storyline or structure of another narrative entity.
-
B.
hasNarrativeRole
Indicates that an entity participates in a narrative with a specific functional role (e.g., protagonist, antagonist, narrator) relative to the story.
-
C.
ownedByInNarrative
Indicates that one entity is portrayed as owning or possessing another entity within the context of a specific narrative or story.
-
D.
hasNarrative
Indicates that one entity contains, presents, or is associated with a story or narrative about another entity or subject.
-
E.
hasContributionFrom
chosen
Indicates that something (such as a work, project, or outcome) is created, influenced, or supported in part by a specified contributor.
- 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_69f3499e964c8190b674b03f6f791b4b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7039045e88190b268522ba43a9cf5 |
completed | May 3, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69f70101ba1c819099380274e6df9a4d |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:50 a.m.