Triple
T19551162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foxtrot |
E489200
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Roger Fox
Roger Fox is the bumbling, overconfident father and husband in the "Foxtrot" comic strip, known for his nerdy interests, questionable schemes, and frequent comedic mishaps.
|
E1383517
|
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: Roger Fox | Statement: [Foxtrot, hasMainCharacter, Roger Fox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger Fox Context triple: [Foxtrot, hasMainCharacter, Roger Fox]
-
A.
Robert Fox
Robert Fox is a British film and theatre producer known for his work on acclaimed stage and screen productions.
-
B.
Robert Fox
Robert Fox is an American architect known for his innovative, sustainable high-rise designs and co-founding the prominent firm Fox & Fowle Architects.
-
C.
Robert Fox
Robert Fox is an author best known for writing the work titled "The Breath of Life."
-
D.
Ralph Fox
Ralph Fox was an influential American mathematician known for his foundational contributions to knot theory and low-dimensional topology.
-
E.
Peter Fox
Peter Fox is a political figure known for serving as a member of the General Council, contributing to regional governance and decision-making.
- 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: Roger Fox Triple: [Foxtrot, hasMainCharacter, Roger Fox]
Generated description
Roger Fox is the bumbling, overconfident father and husband in the "Foxtrot" comic strip, known for his nerdy interests, questionable schemes, and frequent comedic mishaps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roger Fox Target entity description: Roger Fox is the bumbling, overconfident father and husband in the "Foxtrot" comic strip, known for his nerdy interests, questionable schemes, and frequent comedic mishaps.
-
A.
Robert Fox
Robert Fox is a British film and theatre producer known for his work on acclaimed stage and screen productions.
-
B.
Robert Fox
Robert Fox is an American architect known for his innovative, sustainable high-rise designs and co-founding the prominent firm Fox & Fowle Architects.
-
C.
Robert Fox
Robert Fox is an author best known for writing the work titled "The Breath of Life."
-
D.
Ralph Fox
Ralph Fox was an influential American mathematician known for his foundational contributions to knot theory and low-dimensional topology.
-
E.
Peter Fox
Peter Fox is a political figure known for serving as a member of the General Council, contributing to regional governance and decision-making.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d2feed48190ad49f64980dc885f |
completed | April 20, 2026, 2:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07577a33e08190865ce6f96070ea4f |
completed | May 15, 2026, 5:27 p.m. |
| NEDg | Description generation | batch_6a075865eaac819085b35d165fda91d4 |
completed | May 15, 2026, 5:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07590b84488190a33889335ba95c95 |
completed | May 15, 2026, 5:34 p.m. |
Created at: April 10, 2026, 1:41 p.m.