Triple
T32284734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flower Belle Lee |
E824793
|
entity |
| Predicate | scriptContributionBy |
P53375
|
FINISHED |
| Object | Mae West |
—
|
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: Mae West | Statement: [Flower Belle Lee, scriptContributionBy, Mae West]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptContributionBy Context triple: [Flower Belle Lee, scriptContributionBy, Mae West]
-
A.
script
Indicates that an entity is associated with a written text or code (such as a screenplay, program, or written instructions) that defines its content or behavior.
-
B.
scriptWriter
chosen
Indicates that one entity is the person who wrote or authored the script associated with another entity.
-
C.
scriptFeature
Indicates that a script includes, supports, or is characterized by a particular feature or capability.
-
D.
scriptTypeWorkedOn
Indicates the type or category of script that an entity has worked on or contributed to.
-
E.
scriptUser
Indicates that an entity functions as a user or executor of a particular script.
- 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 1, 2026, 12:43 a.m.