Triple
T14416681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mare Sheehan |
E357470
|
entity |
| Predicate | hasGrandson |
P27130
|
FINISHED |
| Object | Drew Sheehan |
E1123042
|
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: Drew Sheehan | Statement: [Mare Sheehan, hasGrandson, Drew Sheehan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drew Sheehan Context triple: [Mare Sheehan, hasGrandson, Drew Sheehan]
-
A.
Drew Sheehan
chosen
Drew Sheehan is a character in the television series "Mare of Easttown," known as the young grandson of the main character, Mare Sheehan.
-
B.
Drew Gordon
Drew Gordon was an American professional basketball player and standout collegiate forward known for his dominant rebounding and interior play, particularly at the University of New Mexico.
-
C.
Drew Rothman
Drew Rothman is a voice actor known for providing character voices in audio productions.
-
D.
Drew Thayer
Drew Thayer is a CIA agent and the ex-boyfriend of the protagonist in the action-comedy film "The Spy Who Dumped Me."
-
E.
Drew Hansen
Drew Hansen is an American lawyer, author, and Democratic politician who has served in the Washington State Legislature.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cec8e4819087c72d82f9caacda |
completed | April 14, 2026, 7:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64e68118819082448393cc141d96 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:17 a.m.