Triple
T3378158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNIT |
E71115
|
entity |
| Predicate | antagonistOf |
P18963
|
FINISHED |
| Object | Autons |
E352950
|
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: Autons | Statement: [UNIT, antagonistOf, Autons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Autons Context triple: [UNIT, antagonistOf, Autons]
-
A.
Autons
chosen
Autons are malevolent, plastic-based alien automatons from the Doctor Who universe, controlled by the Nestene Consciousness and known for animating everyday plastic objects to attack humans.
-
B.
Cybermen
The Cybermen are a recurring race of emotionless, cybernetically augmented humanoids in the Doctor Who universe who seek to convert other beings into their own kind.
-
C.
Zorgons
Zorgons are a hostile reptilian alien species that serve as the primary antagonists in the sci-fi adventure film "Zathura: A Space Adventure."
-
D.
Zygons
The Zygons are a shape-shifting, suction-cupped alien species from Doctor Who known for infiltrating and impersonating humans as part of their invasion schemes.
-
E.
The Paras
The Paras are an elite airborne infantry regiment of the British Army renowned for their rigorous training, rapid deployment capabilities, and distinguished combat history.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2eacb5c81908071a1dacc9a897a |
completed | March 8, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bc17dd881908fc5fb0d4a23f40f |
completed | March 12, 2026, 11:26 p.m. |
Created at: March 8, 2026, 3:13 p.m.