Triple
T15674148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lew Hayward |
E377392
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Jacob Marley |
E887503
|
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: Jacob Marley | Statement: [Lew Hayward, basedOn, Jacob Marley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacob Marley Context triple: [Lew Hayward, basedOn, Jacob Marley]
-
A.
Jacob Marley
chosen
Jacob Marley is the deceased former business partner of Ebenezer Scrooge whose ghost appears bound in chains to warn Scrooge to change his miserly ways in Charles Dickens’ "A Christmas Carol."
-
B.
Reverend Marley
Reverend Marley is a clergyman character in the British period drama series "Lark Rise to Candleford," set in a rural English community in the late 19th century.
-
C.
Marley
Marley is the surname of the legendary Jamaican reggae musician and cultural icon Bob Marley.
-
D.
Marley
Marley is the lovable but mischievous Labrador Retriever who serves as the central canine character in the memoir and film "Marley & Me."
-
E.
Marley
Marley is a small settlement within the civil parish of Northbourne in Kent, England.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2c996c8190a9ebe0e92608feaa |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6edb12bc8190b2c5558190671ae5 |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 10, 2026, 4:16 a.m.