Triple
T34969108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danara Pel |
E1008484
|
entity |
| Predicate | hasHolographicBodyCreatedBy |
P194961
|
FINISHED |
| Object | The Doctor |
—
|
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: The Doctor | Statement: [Danara Pel, hasHolographicBodyCreatedBy, The Doctor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHolographicBodyCreatedBy Context triple: [Danara Pel, hasHolographicBodyCreatedBy, The Doctor]
-
A.
hasEmergencyHologram
Indicates that an entity possesses or is equipped with an emergency hologram system available for use in critical or urgent situations.
-
B.
hasHolodeck
Indicates that an entity possesses or includes a holodeck facility or feature.
-
C.
hasCreativeModel
Indicates that an entity is associated with or utilizes a particular creative model (e.g., a generative or design model) for producing creative outputs.
-
D.
hasArtificialComponent
Indicates that an entity includes, contains, or is composed of at least one non-natural, human-made component.
-
E.
hasOculus
Indicates that one entity possesses or is equipped with an oculus (a circular opening or eye-like feature).
- 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_69f76dc78a308190a1ac29ad4a9a4895 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd91a5dad8819093eeeef527027890 |
completed | May 8, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69fd8f65fe9081908902500a3228d935 |
completed | May 8, 2026, 7:23 a.m. |
| PDg | Predicate description generation | batch_69fd91a44268819081b372296e3aa116 |
completed | May 8, 2026, 7:32 a.m. |
Created at: May 3, 2026, 4 p.m.