Triple
T14451654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McLeod Ganj |
E358351
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
David McLeod
David McLeod was a British colonial official after whom the hill station of McLeod Ganj in Himachal Pradesh, India, is named.
|
E1149325
|
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: David McLeod | Statement: [McLeod Ganj, namedAfter, David McLeod]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David McLeod Context triple: [McLeod Ganj, namedAfter, David McLeod]
-
A.
Eric McLeod
Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
-
B.
Daniel McPhee
Daniel McPhee is the late father of American singer and actress Katharine McPhee, known primarily in connection with her life and career.
-
C.
Sean McKittrick
Sean McKittrick is an American film producer known for his work on acclaimed and genre-defining films such as "BlacKkKlansman," "Get Out," and "Donnie Darko."
-
D.
Daniel MacPherson
Daniel MacPherson is an Australian actor and television presenter known for roles in action dramas such as the series Strike Back.
-
E.
Mark Dawson
Mark Dawson is one of the children of the late British-American actor and game show host Richard Dawson.
- 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: David McLeod Triple: [McLeod Ganj, namedAfter, David McLeod]
Generated description
David McLeod was a British colonial official after whom the hill station of McLeod Ganj in Himachal Pradesh, India, is named.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David McLeod Target entity description: David McLeod was a British colonial official after whom the hill station of McLeod Ganj in Himachal Pradesh, India, is named.
-
A.
Eric McLeod
Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
-
B.
Daniel McPhee
Daniel McPhee is the late father of American singer and actress Katharine McPhee, known primarily in connection with her life and career.
-
C.
Sean McKittrick
Sean McKittrick is an American film producer known for his work on acclaimed and genre-defining films such as "BlacKkKlansman," "Get Out," and "Donnie Darko."
-
D.
Daniel MacPherson
Daniel MacPherson is an Australian actor and television presenter known for roles in action dramas such as the series Strike Back.
-
E.
Mark Dawson
Mark Dawson is one of the children of the late British-American actor and game show host Richard Dawson.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de916244948190bb09d1bfc485ba50 |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef883f2b88190807d9157e8d45e3c |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fef9b42b94819088e96f301a91ce71 |
completed | May 9, 2026, 9:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefa179c7081908cced4ad780583a3 |
completed | May 9, 2026, 9:10 a.m. |
Created at: April 10, 2026, 1:19 a.m.