Triple
T14877988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolittle |
E349916
|
entity |
| Predicate | hasWriter |
P4244
|
FINISHED |
| Object | Doug Mand |
E349916
|
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: Doug Mand | Statement: [Dolittle, hasWriter, Doug Mand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doug Mand Context triple: [Dolittle, hasWriter, Doug Mand]
-
A.
Doug Mand
chosen
Doug Mand is a film and television writer best known for co-writing the 2020 fantasy adventure comedy film "Dolittle."
-
B.
Dave Madden
Dave Madden was a Canadian-born American actor and comedian best known for playing the band manager Reuben Kincaid on the 1970s television sitcom "The Partridge Family."
-
C.
Doug Mankoff
Doug Mankoff is a film and television producer known for financing and executive producing a wide range of independent and prestige projects.
-
D.
Andy Fickman
Andy Fickman is an American film and television director known for family-friendly comedies and energetic, commercially successful studio movies.
-
E.
Doug Laird
Doug Laird is a technology entrepreneur best known as one of the founders of the innovative microprocessor company Transmeta.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e4e4448190a8796573bc6d1069 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b54ad7c819082575245da07e358 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:55 a.m.