Triple
T9115119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secret Wars (2015) |
E218701
|
entity |
| Predicate | hasTieIn |
P45835
|
FINISHED |
| Object | Old Man Logan (2015) |
E508704
|
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: Old Man Logan (2015) | Statement: [Secret Wars (2015), hasTieIn, Old Man Logan (2015)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Man Logan (2015) Context triple: [Secret Wars (2015), hasTieIn, Old Man Logan (2015)]
-
A.
Old Man Logan
chosen
Old Man Logan is a popular Marvel Comics storyline set in a dystopian future where an aged Wolverine navigates a villain-ruled world after the fall of the superheroes.
-
B.
LOGAN
LOGAN is the radio callsign used by Loganair, a Scottish regional airline operating domestic and short-haul international flights.
-
C.
Logan
Logan is a name commonly used as both a given name and surname in English-speaking countries.
-
D.
Logan
Logan is a small village in eastern New Mexico, United States, known for its proximity to Ute Lake and its role as a local recreational and service hub in Quay County.
-
E.
Logan
Logan is a city in northern Utah known for being home to Utah State University and for its scenic Cache Valley setting.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a1340881909dc791b825e87ef2 |
completed | April 1, 2026, 5:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0306837c0819099cd77925df0848d |
completed | April 3, 2026, 9:26 p.m. |
Created at: March 30, 2026, 7:16 p.m.