Triple
T5588385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dick Costolo |
E146812
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Dick |
E477985
|
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: Dick | Statement: [Dick Costolo, givenName, Dick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dick Context triple: [Dick Costolo, givenName, Dick]
-
A.
Dick
Dick is the nickname of Dick Bosman, a former Major League Baseball pitcher known for his control and a no-hitter thrown in 1974.
-
B.
Dick
"Dick" is a 1999 satirical comedy film that parodies the Watergate scandal by imagining two teenage girls accidentally becoming key figures in President Richard Nixon’s downfall.
-
C.
Dick
Dick is the common nickname of Dick Howser, an American Major League Baseball player and manager best known for leading the Kansas City Royals to a World Series championship in 1985.
-
D.
Dick
chosen
Dick is a masculine given name, traditionally a diminutive of Richard, that has been used in English-speaking countries for centuries.
-
E.
Danny
Danny is the charismatic, hard-drinking World War I veteran whose inherited houses and loose community of friends drive the picaresque adventures in John Steinbeck’s novel "Tortilla Flat."
- 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0209e892c8190b936a05ef2a14d36 |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d2f8710819094f5d052b767b9a6 |
completed | March 22, 2026, 8:12 p.m. |
Created at: March 22, 2026, 3:38 p.m.