Triple
T2091873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alara Kitan |
E32687
|
entity |
| Predicate | closeColleague |
P11349
|
FINISHED |
| Object | John LaMarr |
E184647
|
NE 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: John LaMarr | Statement: [Alara Kitan, closeColleague, John LaMarr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John LaMarr Context triple: [Alara Kitan, closeColleague, John LaMarr]
-
A.
John LaMarr
chosen
John LaMarr is a brilliant yet laid-back engineer and later chief engineer aboard the USS Orville in the science fiction TV series "The Orville."
-
B.
Chris Parnell
Chris Parnell is an American actor and comedian best known for his work on "Saturday Night Live" and roles in series like "30 Rock," "Archer," and "Rick and Morty."
-
C.
Josh James
Josh James is an American entrepreneur best known as the co-founder and former CEO of web analytics company Omniture.
-
D.
Eric Palicki
Eric Palicki is an American comic book writer known for creator-owned and independent titles, and as the brother of actress Adrianne Palicki.
-
E.
Shane Hurlbut
Shane Hurlbut is an American cinematographer known for his work on major Hollywood films and his influential role in advancing digital cinematography techniques.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba7626d081908c9c0f18942e128d |
completed | March 7, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2746fb3481909e0b7fdbd4748245 |
completed | March 9, 2026, 1:49 a.m. |
Created at: March 4, 2026, 7:43 p.m.