Triple
T29947322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seema Raja |
E760669
|
entity |
| Predicate | hasMassAppealStorytelling |
P174219
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Seema Raja, hasMassAppealStorytelling, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMassAppealStorytelling Context triple: [Seema Raja, hasMassAppealStorytelling, true]
-
A.
hasMassAppeal
chosen
Indicates that something possesses qualities or characteristics that attract or are appealing to a very large, broad, or general audience.
-
B.
intendedAudienceBeyondStory
Indicates that the work is created with an audience in mind that extends beyond the immediate or in-story participants, addressing external or broader viewers/readers.
-
C.
hasNarrative
Indicates that one entity contains, presents, or is associated with a story or narrative about another entity or subject.
-
D.
modeOfTelling
Indicates the manner or medium through which something is narrated, communicated, or expressed.
-
E.
narratesAs
Indicates that one entity tells, recounts, or presents a story, event, or information in the manner, style, or voice of another entity.
- 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_69f2246562b881909d57622f4086d43d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69ff7ae5d088819089aa3b6360b6b749 |
completed | May 9, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69ff7a4df6488190bf60d675b36b1d6d |
completed | May 9, 2026, 6:17 p.m. |
Created at: April 29, 2026, 6:24 p.m.