Triple
T29488840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Survivor: Island of the Idols |
E748010
|
entity |
| Predicate | hasMentorFullName |
P193716
|
FINISHED |
| Object | Robert Mariano |
—
|
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: Robert Mariano | Statement: [Survivor: Island of the Idols, hasMentorFullName, Robert Mariano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMentorFullName Context triple: [Survivor: Island of the Idols, hasMentorFullName, Robert Mariano]
-
A.
hasMentorNickname
Indicates that one entity is known by or uses a specific nickname given or used by their mentor.
-
B.
mentorOrPartner
Indicates a relationship in which one entity either provides guidance and support to another as a mentor or collaborates with them on relatively equal footing as a partner.
-
C.
hasFullOfficialName
Indicates that an entity is associated with its complete, formally recognized official name.
-
D.
mentorOrAppointer
Indicates a relationship where one entity either serves as a mentor to another or is responsible for appointing that entity to a role or position.
-
E.
hasFullNameOfSubject
Indicates that the associated value is the complete, formal name of the subject entity.
- 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_69f0bd448c6881908aa6b475cefd5ddc |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
| PDg | Predicate description generation | batch_69fd509cdc5c8190a5f2c451bc0d0b25 |
completed | May 8, 2026, 2:55 a.m. |
Created at: April 28, 2026, 4:11 p.m.