Triple
T11668377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | X-Force |
E277311
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Domino |
E658064
|
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: Domino | Statement: [X-Force, hasMember, Domino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Domino Context triple: [X-Force, hasMember, Domino]
-
A.
Domino
"Domino" is a 2011 upbeat pop song by English singer-songwriter Jessie J that became one of her most commercially successful and internationally recognized hits.
-
B.
Domino
"Domino" is a 1970 upbeat rhythm and blues song by Van Morrison, known for its soulful horn arrangements and enduring popularity in his catalog.
-
C.
Domino
"Domino" is a 2019 crime thriller film directed by Brian De Palma and starring Édgar Ramírez, Nikolaj Coster-Waldau, and Carice van Houten, centered on a Copenhagen police officer entangled in a web of terrorism and CIA intrigue.
-
D.
Domino
chosen
Domino is a Marvel Comics mutant mercenary best known for her probability-altering "luck" powers and frequent partnership with Deadpool and X-Force.
-
E.
Domino
"Domino" is a 2005 action-crime film directed by Tony Scott, loosely based on the life of bounty hunter Domino Harvey.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a440d8a481909a13c97813408bc8 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f0191ced188190b79de079b6890221 |
completed | April 28, 2026, 2:19 a.m. |
Created at: April 8, 2026, 9:39 p.m.