Triple
T31148600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tricia O’Neil |
E794001
|
entity |
| Predicate | notableGenreAppearance |
P207365
|
FINISHED |
| Object | Star Trek franchise |
E31723
|
NE 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: Star Trek franchise | Statement: [Tricia O’Neil, notableGenreAppearance, Star Trek franchise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableGenreAppearance Context triple: [Tricia O’Neil, notableGenreAppearance, Star Trek franchise]
-
A.
notableAppearanceType
Indicates the type or category of a notable appearance associated with an entity, such as a significant role, cameo, or featured presence.
-
B.
notableGenreOfFilm
Indicates that a particular genre is especially characteristic, prominent, or noteworthy for a given film.
-
C.
notableAppearanceIn
Indicates that an entity is prominently featured or plays a significant role in a particular work, event, or context.
-
D.
notableAppearance
Indicates that an entity is prominently featured or makes a significant appearance in another work, event, or context.
-
E.
seriesGenreOfNotableWork
Indicates that a particular genre characterizes the notable work associated with a series.
- F. None of above. chosen
Provenance (5 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_69f224d41bb48190a5621cd1485e3a30 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a294720cac081908998e6c99c0258ae |
completed | June 10, 2026, 11:14 a.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 29, 2026, 9:06 p.m.