Triple
T31754232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dreamfinder |
E810512
|
entity |
| Predicate | partnerCharacter |
P37304
|
FINISHED |
| Object | Figment |
—
|
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: Figment | Statement: [Dreamfinder, partnerCharacter, Figment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerCharacter Context triple: [Dreamfinder, partnerCharacter, Figment]
-
A.
partnerInMyth
Indicates a mythological relationship in which two entities are partners or companions within the same myth or mythic narrative.
-
B.
hasHumanPartnerCharacter
Indicates that an entity is associated with a partner character who is human.
-
C.
partnerInLoveTeam
Indicates that two entities are teammates who are also partners in a romantic or love-based relationship.
-
D.
relatedCharacter
chosen
Indicates that one character has a specified relationship or association with another character.
-
E.
partnerInSeries
Indicates that two entities are co-participants or collaborators within the same series, jointly contributing to or appearing in that ongoing sequence.
- 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_69f348e340d48190b780fae618c51464 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 30, 2026, 11:29 p.m.