Triple
T36837943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary, Williams, Parenti, Watson, Gary & Gillespie, P.L. |
E910326
|
entity |
| Predicate | hasPartnerInName |
P201849
|
FINISHED |
| Object | Gary |
—
|
NE NERFINISHED |
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: Gary | Statement: [Gary, Williams, Parenti, Watson, Gary & Gillespie, P.L., hasPartnerInName, Gary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartnerInName Context triple: [Gary, Williams, Parenti, Watson, Gary & Gillespie, P.L., hasPartnerInName, Gary]
-
A.
hasPartner
Indicates that one entity is in a partner relationship (such as romantic, life, or business partnership) with another entity.
-
B.
hasExPartner
Indicates that one entity was formerly in a romantic or intimate partnership with another entity, but that relationship has ended.
-
C.
hasPartnerOrganization
Indicates that an entity is formally associated or collaborates with another entity as a partner organization.
-
D.
hasFormerPartnerName
Indicates that an entity has the recorded name of a person or organization who was previously their partner.
-
E.
hasPartnerDesignation
Indicates that one entity is formally designated as a partner of another entity within a specified context or relationship.
- F. None of above. chosen
Provenance (4 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_69f76e7f65a881908651b702da592b6d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a002962f6e081909906d6436bae6407 |
completed | May 10, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_6a00284c9c7c8190a77f18a41eee55df |
completed | May 10, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_6a00296249d48190b2de7af946126eaf |
completed | May 10, 2026, 6:44 a.m. |
Created at: May 3, 2026, 4:13 p.m.