Triple
T9547475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darcy Lewis |
E230329
|
entity |
| Predicate | roleInWandaVision |
P83930
|
FINISHED |
| Object | astrophysicist consultant for S.W.O.R.D. |
—
|
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: astrophysicist consultant for S.W.O.R.D. | Statement: [Darcy Lewis, roleInWandaVision, astrophysicist consultant for S.W.O.R.D.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInWandaVision Context triple: [Darcy Lewis, roleInWandaVision, astrophysicist consultant for S.W.O.R.D.]
-
A.
roleInScene
Indicates that an entity participates in a particular scene with a specific role or function within that scene.
-
B.
roleInWakandaForever
Indicates that an entity had a role or participation in the production of the film "Black Panther: Wakanda Forever."
-
C.
roleInWakanda
Indicates the specific function, position, or duty an entity holds within the context or society of Wakanda.
-
D.
narrativeRoleInSeries
chosen
Indicates the specific narrative function or role an entity plays within a particular series or serialized work.
-
E.
roleInWZRD
Indicates that an entity holds a specific role or function within the context of WZRD.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9904732c8190ab60ecc47c995cbe |
completed | April 1, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ccd58bd21881908b860e3ee469af13 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:02 p.m.