Triple
T5702287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maureen Dowd |
E125691
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Mike Dowd
Mike Dowd is the father of Pulitzer Prize–winning New York Times columnist Maureen Dowd.
|
E564202
|
NE FINISHED |
How this triple was built (4 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: Mike Dowd | Statement: [Maureen Dowd, parent, Mike Dowd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Dowd Context triple: [Maureen Dowd, parent, Mike Dowd]
-
A.
Kevin Dowd
Kevin Dowd is the brother of Pulitzer Prize–winning New York Times columnist Maureen Dowd.
-
B.
Michael O’Rourke
Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
-
C.
Tom Doherty
Tom Doherty is an American publisher best known as the founder of the science fiction and fantasy imprint Tor Books.
-
D.
Michael Dougherty
Michael Dougherty is an American filmmaker and screenwriter best known for genre films like Trick 'r Treat and Krampus and for directing the MonsterVerse installment Godzilla: King of the Monsters.
-
E.
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).
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mike Dowd Triple: [Maureen Dowd, parent, Mike Dowd]
Generated description
Mike Dowd is the father of Pulitzer Prize–winning New York Times columnist Maureen Dowd.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Dowd Target entity description: Mike Dowd is the father of Pulitzer Prize–winning New York Times columnist Maureen Dowd.
-
A.
Kevin Dowd
Kevin Dowd is the brother of Pulitzer Prize–winning New York Times columnist Maureen Dowd.
-
B.
Michael O’Rourke
Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
-
C.
Tom Doherty
Tom Doherty is an American publisher best known as the founder of the science fiction and fantasy imprint Tor Books.
-
D.
Michael Dougherty
Michael Dougherty is an American filmmaker and screenwriter best known for genre films like Trick 'r Treat and Krampus and for directing the MonsterVerse installment Godzilla: King of the Monsters.
-
E.
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).
- F. None of above. chosen
Provenance (5 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0245581988190a819b8137533ed31 |
completed | March 22, 2026, 5:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1133b6ce0819080ec5d6bad6d2e97 |
completed | March 23, 2026, 10:17 a.m. |
| NEDg | Description generation | batch_69c11511b2b48190a47f1152f7aef2ad |
completed | March 23, 2026, 10:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1156a67548190be763bef22ae7d03 |
completed | March 23, 2026, 10:26 a.m. |
Created at: March 22, 2026, 3:45 p.m.