Triple
T3151336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lillie Hitchcock Coit |
E65883
|
entity |
| Predicate | bequestAmount |
P482
|
FINISHED |
| Object | 118000 |
—
|
LITERAL 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: 118000 | Statement: [Lillie Hitchcock Coit, bequestAmount, 118000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bequestAmount Context triple: [Lillie Hitchcock Coit, bequestAmount, 118000]
-
A.
awardAmount
Indicates the specific quantity or value of an award that is granted in the context of a particular awarding event or relationship.
-
B.
pensionAmount
Indicates the specific monetary value of a pension that is assigned to or received by an entity.
-
C.
monetaryValue
chosen
Indicates the amount of money associated with an entity, event, or transaction.
-
D.
authorizedBondAmount
Indicates the maximum bond value that has been formally approved or permitted for issuance or use in a given context.
-
E.
typicalAwardAmount
Indicates the usual or most common amount of an award given in this relationship.
- F. None of above.
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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5c145248190843ff3b1701074a1 |
completed | March 8, 2026, 4:37 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfa3d9081908425aa636bb9b897 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.