Triple
T15060165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mare Sheehan |
E379603
|
entity |
| Predicate | hasSon |
P6882
|
FINISHED |
| Object | Kevin Sheehan |
E1203656
|
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: Kevin Sheehan | Statement: [Mare Sheehan, hasSon, Kevin Sheehan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Sheehan Context triple: [Mare Sheehan, hasSon, Kevin Sheehan]
-
A.
Kevin Sheehan
chosen
Kevin Sheehan is a character in the television series "Mare of Easttown," known as the troubled son of the protagonist, Mare Sheehan.
-
B.
Michael O'Shea
Michael O'Shea was an American film and television actor active in the mid-20th century, known for roles in movies such as "The Eve of St. Mark" and "Jack London."
-
C.
Mike O’Shea
Mike O’Shea is a Canadian football coach and former linebacker best known for leading the Winnipeg Blue Bombers to multiple Grey Cup championships in the CFL.
-
D.
Brian Kavanagh
Brian Kavanagh is a film editor best known for his work on notable Australian and international films, including the drama "The Devil's Playground."
-
E.
Michael O'Connor
Michael O'Connor is an Academy Award-winning British costume designer known for his detailed period work on films such as "The Duchess" and "Jane Eyre" (2011).
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee50afc8190bf7b0f4bbe8c60a3 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170d8c9f0819099a398814f49f0ed |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 3:01 a.m.