Triple
T3778367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2K |
E83360
|
entity |
| Predicate | notableSeries |
P3199
|
FINISHED |
| Object | XCOM |
E388070
|
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: XCOM | Statement: [2K, notableSeries, XCOM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XCOM Context triple: [2K, notableSeries, XCOM]
-
A.
XCOM series
chosen
The XCOM series is a popular franchise of turn-based tactical strategy games centered on defending Earth from alien threats through squad-based combat and base management.
-
B.
Guerrilla
"Guerrilla" is a notable Bengali-language film that portrays the struggles and resistance during the Bangladesh Liberation War.
-
C.
Homefront
Homefront is a 2013 action-thriller film starring Jason Statham as a former DEA agent who confronts a violent drug trafficker in a small Louisiana town.
-
D.
Crysis
Crysis is a science fiction first-person shooter video game series known for its cutting-edge graphics, nanosuit-enhanced gameplay, and high system requirements.
-
E.
The Specialist
The Specialist is a 1994 action thriller film starring Sylvester Stallone and Sharon Stone, centered on a bomb expert drawn into a deadly revenge plot.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc78173081908b230017834cdf9e |
completed | March 8, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503ea77708190ae55cd1892735b22 |
completed | March 14, 2026, 6:44 a.m. |
Created at: March 8, 2026, 3:36 p.m.