Triple
T21303340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael J. Hurley |
E525124
|
entity |
| Predicate | nameIsUsedBy |
P2937
|
FINISHED |
| Object | multiple individuals |
—
|
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: multiple individuals | Statement: [Michael J. Hurley, nameIsUsedBy, multiple individuals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameIsUsedBy Context triple: [Michael J. Hurley, nameIsUsedBy, multiple individuals]
-
A.
nameUsedBy
chosen
Indicates that a particular name is employed or referenced by a specific entity.
-
B.
nameUsedIn
Indicates that a particular name is employed or referenced within a specified context, work, or usage setting.
-
C.
nameUsedFor
Indicates that a particular name is used to refer to or designate a given entity.
-
D.
nameReusedFor
Indicates that an existing name has been used again for a different entity or instance, rather than introducing a completely new name.
-
E.
nameUsedSince
Indicates that a particular name has been in use for an entity starting from a specified point in time.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385da340819083c07f353f2142b0 |
completed | April 21, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69e61612ab748190a72b8703b938abcb |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:05 p.m.