Triple
T11878456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Six |
E282589
|
entity |
| Predicate | hasCastConfiguration |
P89780
|
FINISHED |
| Object | six principal queens and onstage band |
—
|
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: six principal queens and onstage band | Statement: [Six, hasCastConfiguration, six principal queens and onstage band]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCastConfiguration Context triple: [Six, hasCastConfiguration, six principal queens and onstage band]
-
A.
hasCast
chosen
Indicates that a creative work features a particular group of performers or actors.
-
B.
hasCasting
Indicates that an entity features a particular actor or set of actors in its cast.
-
C.
hasMultipleCasts
Indicates that an entity is associated with more than one distinct cast or casting instance.
-
D.
hasMinimalCast
Indicates that an entity (such as a film or production) involves only a small or minimal number of cast members.
-
E.
hasCastType
Indicates that an entity participates in a production with a specified type of casting role (e.g., lead, supporting, cameo).
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d39d2934819093b9f7006f45e5cb |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb272f88819090c37c944c5a60ab |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.