Triple
T15599327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayor Ned McDodd |
E374988
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Hollie McDodd |
E1230493
|
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: Hollie McDodd | Statement: [Mayor Ned McDodd, hasChild, Hollie McDodd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hollie McDodd Context triple: [Mayor Ned McDodd, hasChild, Hollie McDodd]
-
A.
Holly McDodd
chosen
Holly McDodd is a character from Dr. Seuss's "Horton Hears a Who!" and its film adaptation, known as one of Mayor Ned McDodd's many children in Whoville.
-
B.
Holly Aird
Holly Aird is a British actress known for her work in television dramas and films, including roles in series such as "Waking the Dead."
-
C.
Holly Faulks
Holly Faulks is known as the daughter of British novelist Sebastian Faulks.
-
D.
Kirsty Brimelow
Kirsty Brimelow is a prominent British barrister and King's Counsel known for her work in human rights and international criminal law.
-
E.
Holly Jones
Holly Jones is a central character in the 2013 thriller film "Prisoners," portrayed as a troubled woman whose past and family connections are key to the movie’s mystery and tension.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e621fc4819097e8e85e7ddfdc6c |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aae0f87c819085ebc7d475ebe8ba |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 4:12 a.m.