Triple
T3358209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iron Man 2 |
E70654
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Clark Gregg |
E197178
|
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: Clark Gregg | Statement: [Iron Man 2, castMember, Clark Gregg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clark Gregg Context triple: [Iron Man 2, castMember, Clark Gregg]
-
A.
Clark Gregg
chosen
Clark Gregg is an American actor and filmmaker best known for portraying Agent Phil Coulson in the Marvel Cinematic Universe and the TV series "Agents of S.H.I.E.L.D."
-
B.
Chris Evans
Chris Evans is an American actor best known for portraying Captain America in the Marvel Cinematic Universe.
-
C.
Anthony Mackie
Anthony Mackie is an American actor best known for his role as Sam Wilson/Falcon in the Marvel Cinematic Universe and for performances in films such as "The Hurt Locker" and "Captain America: The Winter Soldier."
-
D.
Jeremy Renner
Jeremy Renner is an American actor and musician best known for his roles in films such as "The Hurt Locker" and as Hawkeye in the Marvel Cinematic Universe.
-
E.
Tom Hiddleston
Tom Hiddleston is an English actor best known for his charismatic portrayal of Loki in the Marvel Cinematic Universe and for acclaimed performances in film, television, and theatre.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad85a660c48190998489309a3b4869 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb26523cc819091006fde7beb32e4 |
completed | March 8, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3253e91988190bbfdafdf88ab0df1 |
completed | March 12, 2026, 8:42 p.m. |
Created at: March 8, 2026, 3:13 p.m.