Triple
T18377129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Holliday |
E446346
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Holliday |
—
|
NE NERFINISHED |
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: Holliday | Statement: [Matt Holliday, familyName, Holliday]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holliday Context triple: [Matt Holliday, familyName, Holliday]
-
A.
Holliday
chosen
Holliday is a surname most famously associated with American singer and actress Jennifer Holliday, renowned for her Tony- and Grammy-winning performance in the original Broadway production of "Dreamgirls."
-
B.
Hallidie
Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
-
C.
Deneen
Deneen is a surname most notably associated with Charles S. Deneen, an American politician who served as governor of Illinois and later as a U.S. senator.
-
D.
Hodierna
Hodierna is an Italian surname most notably associated with the 17th-century astronomer Giovanni Battista Hodierna.
-
E.
Herlihy
Herlihy is an Irish-origin surname borne by various notable individuals, including writers, scholars, and public figures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179849d08190a3ffb9edc633d2ee |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:45 a.m.