Triple
T6315097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regan Abbott |
E141595
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Regan |
E359759
|
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: Regan | Statement: [Regan Abbott, givenName, Regan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Regan Context triple: [Regan Abbott, givenName, Regan]
-
A.
Regan
Regan is a surname most notably associated with Michael S. Regan, the American environmental regulator and current Administrator of the U.S. Environmental Protection Agency.
-
B.
Regan
chosen
Regan is one of King Lear’s daughters in Shakespeare’s tragedy, known for her cruelty, ambition, and betrayal.
-
C.
Kathleen
Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
-
D.
Kathleen
"Kathleen" is a punk rock song by the American band Pinhead Gunpowder, known for its raw, melodic style and association with the East Bay punk scene.
-
E.
Regan Abbott
Regan Abbott is a deaf teenage girl and central protagonist in the horror film series "A Quiet Place," known for her resourcefulness and emotional resilience in a world overrun by sound-sensitive creatures.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064a197488190946c4637b3c829a5 |
completed | March 22, 2026, 9:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e46feeec8190bdb39a48c92bacf1 |
completed | March 27, 2026, 1:59 a.m. |
Created at: March 22, 2026, 4:28 p.m.