Triple
T2835485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellen |
E62337
|
entity |
| Predicate | leadActorSexualOrientation |
P42921
|
FINISHED |
| Object | lesbian |
—
|
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: lesbian | Statement: [Ellen, leadActorSexualOrientation, lesbian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorSexualOrientation Context triple: [Ellen, leadActorSexualOrientation, lesbian]
-
A.
hasLeadCharacterGender
Indicates that the primary or lead character in a work has a specified gender.
-
B.
leadActress
Indicates that the subject is the primary female performer in the specified film, show, or production.
-
C.
portrayedByAlsoPlays
Indicates that the actor who portrays a given character also plays another specified role or character.
-
D.
starredActor
Indicates that an actor performed a leading or significant role in a particular production or work.
-
E.
hasPerformerGender
Indicates that an action, event, or performance is associated with the gender of the performer who carries it out.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdeea881481908d759c72798a50fb |
completed | March 7, 2026, 8:16 a.m. |
| PD | Predicate disambiguation | batch_69abdd0ce8b08190ba28c192988f38ce |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abde4895dc819097c396c5d31ac1d1 |
completed | March 7, 2026, 8:14 a.m. |
Created at: March 6, 2026, 10:01 p.m.