Triple
T26385767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | If/Then |
E663274
|
entity |
| Predicate | leadCharacterAlsoCalled |
P46224
|
FINISHED |
| Object | Beth |
—
|
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: Beth | Statement: [If/Then, leadCharacterAlsoCalled, Beth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadCharacterAlsoCalled Context triple: [If/Then, leadCharacterAlsoCalled, Beth]
-
A.
leadCharacterNickname
Indicates that one entity is the nickname commonly used for the lead (main) character of another entity.
-
B.
leadActorNicknameHolder
Indicates that the subject is the person who holds or uses the nickname associated with the lead actor.
-
C.
leadActorNickname
Indicates that one entity is the nickname used for the lead actor of another entity (such as a film, show, or production).
-
D.
protagonistAlsoKnownAs
chosen
Indicates that an entity serving as a protagonist is alternatively referred to by another name or alias.
-
E.
leadCharacterField
Indicates that one entity serves as the primary or main character associated with another entity, such as a work or production.
- 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_69ee88374adc81909868f3bab374a32f |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f612607c388190ab61d1ac7d18e08d |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
Created at: April 26, 2026, 11:22 p.m.