Triple
T21207370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paula McFadden |
E522622
|
entity |
| Predicate | relationshipWithElliotGarfield |
P143550
|
FINISHED |
| Object | initially antagonistic |
—
|
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: initially antagonistic | Statement: [Paula McFadden, relationshipWithElliotGarfield, initially antagonistic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithElliotGarfield Context triple: [Paula McFadden, relationshipWithElliotGarfield, initially antagonistic]
-
A.
relationshipToGabeGoodman
Indicates the specific type of personal or social relationship an entity has with Gabe Goodman.
-
B.
relationshipWithGarrettWalker
Indicates that an entity has some form of personal or professional relationship with Garrett Walker.
-
C.
relationshipToEvanHansen
Indicates the type or nature of a person's relationship or connection to Evan Hansen.
-
D.
relationshipToEmmaCarew
Indicates a specified type of personal or social relationship that an entity has with Emma Carew.
-
E.
relationshipToJodieHolmes
Indicates the nature or type of relationship an entity has with Jodie Holmes.
- F. None of above. chosen
Provenance (4 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734362c788190bc1b96d3b84c0ad1 |
completed | April 21, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5fa92a2448190896c022dd27511ad |
completed | April 20, 2026, 10:06 a.m. |
Created at: April 16, 2026, 3:24 p.m.