Triple
T16622307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diane Salinger |
E403863
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Legion |
E861476
|
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: Legion | Statement: [Diane Salinger, notableWork, Legion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Legion Context triple: [Diane Salinger, notableWork, Legion]
-
A.
Legion
Legion is the nickname of Birmingham Legion FC, a professional soccer club based in Birmingham, Alabama, competing in the USL Championship.
-
B.
Legion
"Legion" is a 2010 supernatural action-horror film in which archangel Michael defies God to protect humanity from an impending apocalypse.
-
C.
Legion
Legion is Lenovo's gaming-focused brand of high-performance laptops, desktops, and related PC hardware.
-
D.
Legion
chosen
Legion is a 1983 horror novel by William Peter Blatty that serves as a philosophical and supernatural sequel to The Exorcist, following Lieutenant Kinderman as he investigates a series of bizarre murders.
-
E.
Legion
Legion is a major Path of Exile expansion that introduced time-frozen armies from Wraeclast’s past, emphasizing large-scale combat and rewarding encounters.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754e80ec8190b3c66b33dbc7463c |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007db27f788190a3c57b7ea8a8a9c6 |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.