Triple
T2850131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Michôd |
E63071
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | War Machine |
E303003
|
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: War Machine | Statement: [David Michôd, wrote, War Machine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: War Machine Context triple: [David Michôd, wrote, War Machine]
-
A.
War Machine
War Machine is a heavily armored military superhero identity used by James "Rhodey" Rhodes in the Marvel universe, known for his weaponized suit and close alliance with Iron Man and the Avengers.
-
B.
War Machine
chosen
War Machine is a 2017 satirical war film starring Brad Pitt that critiques modern U.S. military intervention and leadership in Afghanistan.
-
C.
Myrmidon
The Myrmidons were a legendary ancient Greek people famed in mythology as the fiercely loyal warriors commanded by Achilles during the Trojan War.
-
D.
Talos
Talos is a giant bronze automaton from Greek mythology who guarded the island of Crete by circling its shores and hurling stones at approaching intruders.
-
E.
Centurion
Centurion is a rapidly growing urban area in South Africa situated between Pretoria and Johannesburg, known for its residential suburbs, business hubs, and large shopping centers.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf437328819098506ec8a3a23e11 |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03141ec9c8190b8163fdfc00c1ee3 |
completed | March 10, 2026, 2:57 p.m. |
Created at: March 6, 2026, 10:02 p.m.