Triple

T14241135
Position Surface form Disambiguated ID Type / Status
Subject Andrew Robinson E353007 entity
Predicate portrayed P1668 FINISHED
Object Phil Rubinstein
Phil Rubinstein is a fictional character portrayed by actor Andrew Robinson, likely appearing in a film or television production.
 E1143549 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: Phil Rubinstein | Statement: [Andrew Robinson, portrayed, Phil Rubinstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Phil Rubinstein
Context triple: [Andrew Robinson, portrayed, Phil Rubinstein]
  • A. Bob Tzudiker
    Bob Tzudiker is an American screenwriter best known for co-writing Disney animated films such as "Tarzan" and "The Lion King."
  • B. Andrew Rubenstein
    Andrew Rubenstein is one of the children of billionaire financier and philanthropist David M. Rubenstein.
  • C. Ron Loewinsohn
    Ron Loewinsohn was an American poet and novelist associated with the San Francisco Renaissance, known for his experimental style and engagement with postwar avant-garde literary circles.
  • D. Ed Lauter
    Ed Lauter was an American character actor known for his distinctive bald-headed look and prolific supporting roles in films and television from the 1970s onward.
  • E. Ben Karlin
    Ben Karlin is an American television writer and producer best known for his work on The Daily Show and The Colbert Report.
  • 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: Phil Rubinstein
Triple: [Andrew Robinson, portrayed, Phil Rubinstein]
Generated description
Phil Rubinstein is a fictional character portrayed by actor Andrew Robinson, likely appearing in a film or television production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Phil Rubinstein
Target entity description: Phil Rubinstein is a fictional character portrayed by actor Andrew Robinson, likely appearing in a film or television production.
  • A. Bob Tzudiker
    Bob Tzudiker is an American screenwriter best known for co-writing Disney animated films such as "Tarzan" and "The Lion King."
  • B. Andrew Rubenstein
    Andrew Rubenstein is one of the children of billionaire financier and philanthropist David M. Rubenstein.
  • C. Ron Loewinsohn
    Ron Loewinsohn was an American poet and novelist associated with the San Francisco Renaissance, known for his experimental style and engagement with postwar avant-garde literary circles.
  • D. Ed Lauter
    Ed Lauter was an American character actor known for his distinctive bald-headed look and prolific supporting roles in films and television from the 1970s onward.
  • E. Ben Karlin
    Ben Karlin is an American television writer and producer best known for his work on The Daily Show and The Colbert Report.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6244ad188190b9d9db7914240410 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed31670a48190a606e812a2aa0a6e completed May 9, 2026, 6:24 a.m.
NEDg Description generation batch_69fed45bfb0c8190a0a02c51b027bd64 completed May 9, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_69fed4c6aaf88190af2f1d3a1280b825 completed May 9, 2026, 6:31 a.m.
Created at: April 10, 2026, 1:08 a.m.