Triple
T4254498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Lloyd Garrison |
E95938
|
entity |
| Predicate | hasMiddleName |
P143
|
FINISHED |
| Object | Lloyd |
E95938
|
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: Lloyd | Statement: [William Lloyd Garrison, hasMiddleName, Lloyd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lloyd Context triple: [William Lloyd Garrison, hasMiddleName, Lloyd]
-
A.
Lloyd
chosen
Lloyd is the middle name of William Lloyd Garrison, the prominent 19th-century American abolitionist and social reformer.
-
B.
Lloyd
Lloyd is a masculine given name of Welsh origin meaning "grey" or "grey-haired."
-
C.
Leroy
Leroy is the birth name of Eldridge Cleaver, a prominent American writer, political activist, and early leader of the Black Panther Party.
-
D.
Lyle
Lyle is a masculine given name of English origin, often used as a first name or nickname.
-
E.
Alvin
Alvin is a deep-sea research submersible renowned for its crewed explorations of the ocean floor, including investigations of hydrothermal vents and the Titanic wreck.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ec036e8819087d8585170707545 |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a887703c81909a40f23f83154b8c |
completed | March 14, 2026, 6:27 p.m. |
Created at: March 12, 2026, 11:06 p.m.