Triple
T20820830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iron Legion |
E512566
|
entity |
| Predicate | roleInAgeOfUltron |
P141960
|
FINISHED |
| Object | initial peacekeeping force in Sokovia |
—
|
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: initial peacekeeping force in Sokovia | Statement: [Iron Legion, roleInAgeOfUltron, initial peacekeeping force in Sokovia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInAgeOfUltron Context triple: [Iron Legion, roleInAgeOfUltron, initial peacekeeping force in Sokovia]
-
A.
roleInAvengers
Indicates that an entity has a specific role or membership status within the Avengers team.
-
B.
roleInWakandaForever
Indicates that an entity had a role or participation in the production of the film "Black Panther: Wakanda Forever."
-
C.
roleInTonyStarkLife
Indicates the specific role or significance an entity has in Tony Stark's life.
-
D.
roleInWakanda
Indicates the specific function, position, or duty an entity holds within the context or society of Wakanda.
-
E.
roleInComics
Indicates that an entity holds a specific role or function within the context of comic books or comic-related works.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f7a1548190b6ef3f1cfad37c1c |
completed | April 21, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69e5c99ca55481908e8d434fa901cfd6 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:41 p.m.