Triple
T17904125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angus Cloud |
E447656
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Conor |
E651482
|
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: Conor | Statement: [Angus Cloud, givenName, Conor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conor Context triple: [Angus Cloud, givenName, Conor]
-
A.
Conor
chosen
Conor is a masculine given name of Irish origin, commonly used in English-speaking countries.
-
B.
Conor Allyn
Conor Allyn is an American filmmaker and producer known for directing action and drama films, including international projects such as "Java Heat."
-
C.
Conor O'Malley
Conor O'Malley is the young boy protagonist of Patrick Ness's novel "A Monster Calls," who struggles with his mother's illness and his own complex emotions as he is visited by a mysterious monster.
-
D.
Conor O'Malley
Conor O'Malley is a notable individual who bears the Irish surname O'Malley, though specific widely recognized achievements or roles associated with him are not clearly established.
-
E.
Conor O’Neill
Conor O’Neill is a film editor known for his work on Michael Moore’s documentary "Capitalism: A Love Story."
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9a9cfc8190879fc36dfdeb562b |
completed | April 19, 2026, 9:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a031b2bc9bc819096bf2d2f2a94910b |
completed | May 12, 2026, 12:20 p.m. |
Created at: April 10, 2026, 10:19 a.m.