Triple
T3393938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Gastineau |
E71482
|
entity |
| Predicate | recordValue |
P7345
|
FINISHED |
| Object | 22 sacks |
—
|
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: 22 sacks | Statement: [Mark Gastineau, recordValue, 22 sacks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordValue Context triple: [Mark Gastineau, recordValue, 22 sacks]
-
A.
recordHeld
Indicates that one entity possesses or maintains a particular record associated with another entity or context.
-
B.
recorded
Indicates that one entity captured, stored, or documented information, audio, video, or data about another entity or event.
-
C.
recordHeldIn
Indicates that a record is stored, maintained, or kept within a particular location, system, or repository.
-
D.
value
chosen
Indicates that one entity possesses, represents, or corresponds to a particular quantity, quality, or assigned worth.
-
E.
recordLayer
Indicates that one entity documents or stores information about another entity within a specific layer or level of a system or structure.
- 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_69ad85a9c4a88190a854019341cb3b60 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb853746c8190bfa1447e6ebbefb3 |
completed | March 8, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69adadf705608190975423779430cc58 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:14 p.m.