Triple
T32553047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morpheus' crew |
E832022
|
entity |
| Predicate | operationalStatusInFirstFilm |
P44209
|
FINISHED |
| Object | severely reduced after Cypher's betrayal |
—
|
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: severely reduced after Cypher's betrayal | Statement: [Morpheus' crew, operationalStatusInFirstFilm, severely reduced after Cypher's betrayal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operationalStatusInFirstFilm Context triple: [Morpheus' crew, operationalStatusInFirstFilm, severely reduced after Cypher's betrayal]
-
A.
statusInFirstFilm
chosen
Indicates the role, condition, or situation an entity has in its first film appearance.
-
B.
operationalStatusDuringFirstFleet
Indicates the operational status or condition of an entity during the period of the first fleet’s activity or deployment.
-
C.
statusAfterFirstFilm
Indicates the status or condition of an entity immediately following the release or completion of its first film.
-
D.
statusAtStartOfFilm
Indicates the condition or situation an entity is in at the beginning of the film.
-
E.
statusInRogueOne
Indicates the role or condition an entity has specifically within the context of the film "Rogue One," such as whether and how it appears or participates in that storyline.
- 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_69f34926b9848190ace47d2dd0a0de7c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0019b0e9fc81909494320f05e81742 |
completed | May 10, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_6a00193379e0819096d1985686ce10e3 |
completed | May 10, 2026, 5:35 a.m. |
Created at: May 1, 2026, 1:02 a.m.