Triple
T3469837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DoubleClick |
E73227
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Kevin O'Connor |
E73227
|
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: Kevin O'Connor | Statement: [DoubleClick, foundedBy, Kevin O'Connor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin O'Connor Context triple: [DoubleClick, foundedBy, Kevin O'Connor]
-
A.
Kevin O'Connor
chosen
Kevin O'Connor is an American entrepreneur best known as the co-founder and former CEO of the online advertising company DoubleClick.
-
B.
Sean McDonough
Sean McDonough is an American sportscaster best known for his long career calling Major League Baseball and college sports on national television.
-
C.
Kevin O'Connell
Kevin O'Connell is an American football coach and former NFL quarterback who serves as the head coach of the Minnesota Vikings.
-
D.
Michael McCusker
Michael McCusker is an American film editor known for his work on major Hollywood productions, including the thriller "The Girl on the Train" (2016).
-
E.
Kevin Tighe
Kevin Tighe is an American actor best known for his role as firefighter-paramedic Roy DeSoto on the television series "Emergency!" and for numerous character roles in film and television.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb392f6481908b6ad0457b8cf421 |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b53fd1a2088190b43cded6c0e90633 |
completed | March 14, 2026, 11 a.m. |
Created at: March 8, 2026, 3:17 p.m.