Triple
T11435405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passing (1929) |
E270991
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Clare Kendry |
E737520
|
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: Clare Kendry | Statement: [Passing (1929), hasCharacter, Clare Kendry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clare Kendry Context triple: [Passing (1929), hasCharacter, Clare Kendry]
-
A.
Clare Kendry
chosen
Clare Kendry is a light-skinned Black woman in Nella Larsen’s novel "Passing" whose decision to live as white drives the story’s exploration of racial identity, secrecy, and desire.
-
B.
Clare Monnelly
Clare Monnelly is an Irish actress best known for her comedic role as Fidelma in the television series "Moone Boy."
-
C.
Clare Lockhart
Clare Lockhart is a British policy expert, lawyer, and co-founder of the Institute for State Effectiveness, known for her work on state-building and governance in fragile and post-conflict countries.
-
D.
Clare Maguire
Clare Maguire is a British singer-songwriter known for her powerful, soulful vocals and emotionally charged pop and electronic music.
-
E.
Esme Regan
Esme Regan is the daughter of British actor and director Vincent Regan.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c485f481909dd3d9b0993f3faf |
completed | April 9, 2026, 8:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e603f7b7c0819092de5ab040b21dc9 |
completed | April 20, 2026, 10:46 a.m. |
Created at: April 8, 2026, 9:35 p.m.